Anaconda 2026: Benefits, Features & Pricing

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Overview
Pricing and Plans
Features
User Reviews

Overview

Anaconda

4.6

(86)

Pricing

Pricing available upon request

About Anaconda

Anaconda is an open-source data science solution, which helps small to large enterprises, academic institutions and government organizations develop and deploy machine learning models using high-performance tools and packages.

The application allows IT teams to perform predictive modelling and analyze financial time series. Professionals can manage integrated apps, packages and environments without using command line interface. Supervisors can grant access to the platform and track the packages most frequently used by the team members. Anaconda secures open-source pipelines by defining organization-wide security policies. With its vulnerability management tool, Anaconda Server, employees can reflect professional and public repositories including conda-forge, CRAN, and PyPI.

It offers various desktop integrations such as Jupyter, VSCode, RStudio, Spyder and more. Pricing for Anaconda is available on yearly subscriptions and on request. Support is extended via documentation.

Anaconda Screenshots

Anaconda Pricing and Plans

Starting price: Connect with an advisor for pricing

Free Trial

Free Version

Basic

Pricing available upon request

No plan information available

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Anaconda Features

Popular features found in Dashboard
Access Controls/Permissions
Alerts/Notifications
Data Import/Export
Data Visualization
Functions/Calculations
Performance Metrics
Reporting/Analytics
Scorecards
Search/Filter
Widgets
More features of Anaconda
AI/Machine Learning
API
Chatbot
Collaboration Tools
Compliance Management
Dashboard
Dashboard Creation
Data Capture and Transfer
Data Cleansing
Data Connectors
Data Discovery
Data Extraction
Data Management
Data Preparation
Data Security
Data Storage Management
Deep Learning
High Volume Processing
HIPAA Compliant
Information Governance
KPI Monitoring
Machine Learning
ML Algorithm Library
Model Training
Multiple Data Sources
Natural Language Processing
Predictive Analytics
Predictive Modeling
Public Dashboards
Role-Based Permissions
Single Page View
Single Sign On
Statistical Analysis
User Management
Version Control
Visual Analytics
Visual Discovery
Visualization

Anaconda User Reviews

Overall Rating

4.6

Ratings Breakdown

69%

27%

Secondary Ratings

Ease of Use

4.4

Value for money

4.6

Customer support

4.0

Functionality

4.7

Fungai Nicole C.

Verified reviewer

Hospital & Health Care

11-50 employees

Used daily for free trial

Review source

Reviewed April 2025

Easy to setup environments and code in many languages with Anaconda. Can be integrated with Streamlit.

I loved integrating Anaconda with Streamlit. I had spent a significant amount of time trying to setup Streamlit on my PC but it was not running. I like that it has a large variety of integrations for example CoLab and this was really awesome because I could edit my python code in the Anaconda interface before deploying my finished app to Streamlit. You can use a lot of coding languages to code from C to others like visual basic.

Ratings Breakdown

Ease of use

Value for money

Customer support

Functionality

Pros:

I liked how easy it was to integrate the Anaconda environment with Streamlit. I was having trouble installing Streamlit on my computer and as soon I followed the easy instructions, I could just play a Play button and the environment would run smoothly.

Cons:

The Windows setup file can take a while to download but it is worth it.

Reasons for switching to Anaconda

I wanted to compare products to see which was more user friendly.

Terry M.

Verified reviewer

Mining & Metals

10000+ employees

Used daily for more than 2 years

Review source

Reviewed May 2025

must use for every data scientist

Ratings Breakdown

Ease of use

Functionality

Pros:

best package management solution for python, two IDE can choose from jupyter or spyder

Cons:

conda managed packages are usually lagging actual package versions, using pip install can easily create conflicts

Reasons for switching to Anaconda

anaconda is more intuitive and user friendly for package management

Aditya R.

Verified reviewer

Computer Networking

Self-Employed

Used daily for less than 2 years

Review source

Reviewed January 2026

A convenient and beginner friendly tool for managing data science workflows

Overall, my experience with Anaconda has been positive. It has made data management much easier by providing a stable environment to work with large datasets and popular libraries without constant dependency issues. The free version offers a lot, especially for students and individual users, which makes it very cost-effective.

Ratings Breakdown

Ease of use

Value for money

Customer support

Functionality

Pros:

What I liked most about Anaconda is how smoothly it brings everything together in one place. Installing Python, managing libraries, and working with tools like Jupyter Notebook becomes much simpler, especially when handling data analysis tasks. It saves time, reduces setup issues, and lets me focus more on learning and building projects rather than fixing environment problems.

Cons:

One thing I liked least about Anaconda is that it can feel heavy and slow at times, especially on systems with limited resources. The environment management, while powerful, can be confusing in the beginning and sometimes leads to version conflicts. Also, updates and package installations occasionally take longer than expected, which can interrupt workflow.

Christhian M.

Verified reviewer

Financial Services

201-500 employees

Used monthly for more than 2 years

Review source

Reviewed October 2024

Review of Anaconda

Ratings Breakdown

Ease of use

Value for money

Customer support

Functionality

Pros:

As a data scientist, we all know and have use anaconda because it provide every element needed to help us develop our projet. Between those elements we have IDEs, notebook editor, Python and R preinstalled with the most used libraries.

Cons:

Anaconda unfortunately takes too much space on laptop and it is sometimes really slow even when opening it

Ferhat D.

Verified reviewer

Information Technology and Services

5001-10000 employees

Used daily for more than 2 years

Review source

Reviewed January 2020

Data Science platform with extensive functionality and ease of version management

I love Anaconda overall thanks to its extensive set of features, platforms it contains and ability to manage installed libraries and install new ones. Version management is very critical for a developer. For example, I recently needed a function that was brought to Pandas just recently, which was 'Int64' datatype that enabled NaN values for Int datatype in DataFrame. I realized I needed to update Pandas. Rather than going through painful process of library update and management, I have gone through this process with ease.

Ratings Breakdown

Ease of use

Value for money

Customer support

Functionality

Pros:

I loved that: - Almost all libraries come default with Anaconda, such as Pandas, NumPy, Matplotlib, Seaborn, Sci-kit Learn. - Even the libraries that does not come default in Anaconda can be easily installed via Anaconda user interface because the namespace contains such information. For example XGBoost, CatBoost, LightGBM, Imbalanced-learn, tsfresh libraries can be installed easily with no need to pip or other command-line interface command. - Maintenance and update of installed libraries are managed easily and automatically in Anaconda. You can see your installed library's current version and if there's any update, it automatically checks and notify you so that you can update them all with one click only. - Anaconda comes with platforms such as Jupyter Notebook, Spyder, Orange, VSCode and more. So you can develop your Python/R script in any of those according to your preference.

Cons:

There are two drawbacks I have seen so far: - As more and more libraries are installed, Anaconda opening becomes slower. - Update of libraries at once is relatively slow but I guess that's understandable, comparing it to all the labor otherwise that would be carried out by the developer.

Reasons for choosing Anaconda

SPSS still suffered the lack of flexibility and functionalities, compared to libraries that come with Anaconda some of which are Pandas, NumPy, Scikit-Learn. So it was not an actual option so I have chosen Anaconda.

Reasons for switching to Anaconda

I needed more customized and sophisticated solutions for Data Science, for both Data visualization and machine learning model development. I realized Anaconda is the best platform to go with, because in non-programming packages, sophisticated custom data manipulation, visualization and functions of algorithms are very restricted.

Harsh D.

Verified reviewer

Higher Education

1001-5000 employees

Used weekly for less than 2 years

Review source

Reviewed July 2023

Best tool for Python Begineers

Ratings Breakdown

Ease of use

Value for money

Customer support

Functionality

Pros:

Anaconda is by far the best tool available for Python Begineers. It makes it easy to use jupyter Notebook, Jupyter Labs and other User Interfaces (UI). As compared to other UIs available like PyCharm which are paid, Anaconda is completely free and allows you do most of the tasks you would need to perform without error.

Cons:

Anaconda is bundle of many User Interfaces. As a consequence, it consumes a bit of storage space in your hard disk. Further, it may take some time to familiarize with the tool.

Reasons for switching to Anaconda

Anaconda provides most of the services PyCharm does but at zero costs. While PyCharm is quite expensive, Anaconda can be used for free.

Edwin O.

Verified reviewer

Information Technology and Services

11-50 employees

Used daily for less than 2 years

Review source

Reviewed September 2021

Best software for developing projects from different fields.

This software has enabled me learn many things from different fields with different languages most especially python programming. Indeed this software includes many packages on one software and this has made my work more effective and efficient than ever.

Ratings Breakdown

Ease of use

Value for money

Customer support

Functionality

Pros:

First is its broad support for python libraries. This software includes various important libraries therefore it does not limit a programmer from using it either in python or R programming. It is an important software for developing long term projects that can run in different python versions. It was hard at first for me to select the best software to learn machine learning but since I got anaconda machine learning has been easy. Runs on more than one platform or operating system. Lastly installing new libraries on anaconda is so easy since it doesn't requires different steps for you to install those libraries.

Cons:

This software takes a long time to open compared to other related alternatives. When I try to update one package of anaconda, it automatically updates all the packages and this I don't like. I don't have many negative things since it covers all my expectations only that if you are using Jupyter Notebook your internet connectivity should be good.

Reasons for choosing Anaconda

It has more libraries than PyCharm and this allows me learn many things.

Yigit K.

Verified reviewer

Consumer Electronics

10000+ employees

Used daily for less than 2 years

Review source

Reviewed March 2020

Better alternative for Numeric analysis and visualization

Anaconda is very useful tool with many great open source tools that come with it, such as Pandas, NumPy, SciPy, Matplotlib, Seaborn as well as convenience to keep them updated, and install new ones.

Ratings Breakdown

Ease of use

Value for money

Customer support

Functionality

Pros:

I liked that it comes with a lot of ready to use libraries out of package, such as NumPy, Pandas, SciPy, Matplotlib and Seaborn, which makes it possible to read, process, model and visualize the data. I liked that version management is very easy to handle, too. It is possible to simply click on the library and then "install/update" button below. It is also very easy to install new ones, its default namespace already contains many many Python libraries and you can filter them using "not installed ones". Then again, to install, you simply click on the checkboxes.

Cons:

The only drawback I can say is its rapidity is a bit low. I guess that's expected considering the number of packages it comes with, and adding new ones to these ones. Another strange thing I came across is, whenever I want to update a package that was already installed, instead of updating that one only, it updated them all, which is odd and very time consuming, considered each update takes some significant time.

Reasons for switching to Anaconda

Anaconda brings up more abilities with its vast number of libraries.

Tania S.

Verified reviewer

Higher Education

201-500 employees

Used daily for more than 2 years

Review source

Reviewed March 2022

Saved my semester!